基于量子自旋的拓扑数据压缩

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper investigates the application of quantum spin systems to data compression, specifically focusing on the development of a novel data compression technique based on the adaptive topology of quantum spin states. We propose a method that leverages the inherent properties of quantum spin to construct and manipulate data, resulting in enhanced compression efficiency compared to conventional methods. The core of our approach involves designing a data structure that utilizes quantum spin states to dynamically adjust the data's representation, optimizing for storage and retrieval. This research explores the potential of quantum phenomena to revolutionize data compression, offering a paradigm shift in data storage strategies. The proposed method demonstrates significant improvements in compression ratios, particularly for data with complex patterns, and provides a foundation for future advancements in data compression technology.

DOI: 10.5281/zenodo.22266194

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